Developing What Works Best
BID Learning Network
LearningSharingDeveloping What Works Best BID Learning Network

OUR
BELIEF

Better data,
plus better
decisions
will lead to
better health
outcomes.

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RECOMMENDATIONS
AND LESSONS LEARNED

Collaborating
to improve
data quality
and use.

See the BID Initiative briefs

BID
LEARNING
NETWORK

Celebrating progress
at the BLN Discussion
Meeting.

Learn more

OUR
VISION

Countries’
health services
are empowered
by improved
data collection,
quality and use.

View our Infographic

BID INITIATIVE
PHOTOS & VIDEOS

Get an inside
look at BID
in the field
and BLN
meetings.

View photos & videos

News From The
BID Learning Network

Feb 20, 2019

BLN Webinar: Introducing the BID Learning Network Data Quality and Use Collaborative

The BID Learning Network (BLN) invites you to view a webinar presentation on “Introducing the BID Learning Network Data Quality and Use Collaborative." Since 2014, the BLN has been bringing African countries together through peer learning, to identify and share tested solutions related to data collection, quality, and use.

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Get Involved:
Participate

The BID Learning Network is your network. Get involved and help shape the outcome.

The BLN brings countries together to identify shared problems and test shared solutions that can be applied in a few countries and then deployed at scale in many.

Participate in the discussion

Community
News

May 14, 2019

4 artificial intelligence use cases for global health

Artificial intelligence (AI) has potential to drive game-changing improvements for underserved communities in global health. In response, The Rockefeller Foundation and USAID partnered with the Bill and Melinda Gates Foundation to develop AI in Global Health: Defining a Collective Path Forward.

May 12, 2019

Democratizing access to data is the next frontier in international development

We founded Future State last year to help equip policymakers with the knowledge and resources so that the digital age benefits the world’s poor and strengthens open societies, rather than undermines them. We believe this requires a relentless focus on developing policies and technologies that empower people to benefit from the data they are increasingly producing online.

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